Vasudha Varadarajan

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H. Andrew SchwartzStony Brook UniversityVerified email at cs.stonybrook.edu
Adithya V GanesanStony Brook UniversityVerified email at cs.stonybrook.edu
Matthew MateroStony Brook UniversityVerified email at cs.stonybrook.edu
Johannes C. EichstaedtStanford UniversityVerified email at stanford.edu
Sharath Chandra GuntukuUniversity of PennsylvaniaVerified email at cis.upenn.edu
Siddharth MangalikReseacher, Stony Brook UniversityVerified email at cs.stonybrook.edu
David M. MarkowitzAssociate Professor of Communication, Michigan State UniversityVerified email at msu.edu
Salvatore GiorgiData Scientist, University of PennsylvaniaVerified email at seas.upenn.edu
Oscar KjellLund UniversityVerified email at psychology.lu.se
Lucie FlekUniversity of Bonn, Lamarr Institute of Machine Learning and Artificial IntelligenceVerified email at bit.uni-bonn.de
Ryan L. BoydDepartment of Computer Science, Stony Brook UniversityVerified email at cs.stonybrook.edu
Sverker SikströmDepartment of PsychologyVerified email at psy.lu.se
Allison LahnalaPhD Student in Computer ScienceVerified email at uni-bonn.de

Vasudha Varadarajan

Stony Brook University

Verified email at cs.stonybrook.edu - Homepage

natural language processing computational social science


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Discourse Relation Embeddings: Representing the Relations between Discourse Segments in Social Media Y Son, V Varadarajan, HA Schwartz Proceedings of the Workshop on Unimodal and Multimodal Induction of …, 2022	10	2022
WWBP-SQT-lite: Multi-level models and difference embeddings for moments of change identification in mental health forums AV Ganesan, V Varadarajan, J Mittal, S Subrahmanya, M Matero, N Soni, ... Proceedings of the Eighth Workshop on Computational Linguistics and Clinical …, 2022	8*	2022
I slept like a baby: using human traits to characterize deceptive ChatGPT and human text S Giorgi, DM Markowitz, N Soni, V Varadarajan, S Mangalik, HA Schwartz International workshop on implicit author characterization from texts for …, 2023	6	2023
Discourse-level representations can improve prediction of degree of anxiety S Juhng, M Matero, V Varadarajan, J Eichstaedt, AV Ganesan, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023	4	2023
Detecting dissonant stance in social media: The role of topic exposure V Varadarajan, N Soni, W Wang, C Luhmann, HA Schwartz, N Inoue Proceedings of the Fifth Workshop on Natural Language Processing and …, 2022	3	2022
Transfer and Active Learning for Dissonance Detection: Addressing the Rare-Class Challenge V Varadarajan, S Juhng, S Mahwish, X Liu, J Luby, C Luhmann, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023	2	2023
V-formation via model predictive control R Grosu, A Lukina, SA Smolka, A Tiwari, V Varadarajan, X Wang arXiv preprint arXiv:2002.08955, 2020	2	2020
Archetypes and Entropy: Theory-Driven Extraction of Evidence for Suicide Risk V Varadarajan, A Lahnala, AV Ganesan, G Dey, S Mangalik, AM Bucur, ... Proceedings of the 9th Workshop on Computational Linguistics and Clinical …, 2024		2024
Adaptive Language-based Mental Health Assessment with Item-Response Theory V Varadarajan, S Sikström, ONE Kjell, HA Schwartz https://arxiv.org/abs/2311.06467, 2023		2023

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